Image Processing for Visual Inspection of Connector-Plug-Pins using Neural Networks.

Diagnosis of brain tumor using image processing and determination of its type with RVM neural networks

Typically, the diagnosis of a tumor is done through surgical sampling, which is more precise with existing methods. The difference is that this is an aggressive, time consuming and expensive way. In the statistical method, due to the complexity of the brain tissues and the similarity between the cancerous cells and the natural tissues, even a radiologist or an expert physician may also be in er...

A Comparison of Image Processing Techiques and Neural Networks for an Automated Visual Inspection Problem1

The development of automated visual inspection systems generally involves a time consuming investigation of appropriate preprocessing and ltering techniques, a search for`good' features and selection of a suitable classiier for the feature vectors. An alternative approach which has the potential of avoiding these problems is the classiication of raw pixel data by the use of neural networks. We ...

Automated Sewer Inspection Using Image Processing and a Neural Classifier

The focus of the research presented here is on the automated assessment of sewer pipe conditions using a laserbased sensor. The proposed method involves image and data processing algorithms categorising signals acquired from the internal pipe surface. Fault identification is carried out using a neural network. Experimental results are presented.

rodbar dam slope stability analysis using neural networks

در این تحقیق شبکه عصبی مصنوعی برای پیش بینی مقادیر ضریب اطمینان و فاکتور ایمنی بحرانی سدهای خاکی ناهمگن ضمن در نظر گرفتن تاثیر نیروی اینرسی زلزله ارائه شده است. ورودی های مدل شامل ارتفاع سد و زاویه شیب بالا دست، ضریب زلزله، ارتفاع آب، پارامترهای مقاومتی هسته و پوسته و خروجی های آن شامل ضریب اطمینان می شود. مهمترین پارامتر مورد نظر در تحلیل پایداری شیب، بدست آوردن فاکتور ایمنی است. در این تحقیق ...

Nonlinear image processing using artificial neural networks